Identifying behaviour-related and physiological risk factors for suicide attempts in the UK Biobank

IF 21.4 1区 心理学 Q1 MULTIDISCIPLINARY SCIENCES Nature Human Behaviour Pub Date : 2024-07-02 DOI:10.1038/s41562-024-01903-x
Bei Zhang, Jia You, Edmund T. Rolls, Xiang Wang, Jujiao Kang, Yuzhu Li, Ruohan Zhang, Wei Zhang, Huifu Wang, Shitong Xiang, Chun Shen, Yuchao Jiang, Chao Xie, Jintai Yu, Wei Cheng, Jianfeng Feng
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Abstract

Suicide is a global public health challenge, yet considerable uncertainty remains regarding the associations of both behaviour-related and physiological factors with suicide attempts (SA). Here we first estimated polygenic risk scores (PRS) for SA in 334,706 UK Biobank participants and conducted phenome-wide association analyses considering 2,291 factors. We identified 246 (63.07%) behaviour-related and 200 (10.41%, encompassing neuroimaging, blood and metabolic biomarkers, and proteins) physiological factors significantly associated with SA-PRS, with robust associations observed in lifestyle factors and mental health. Further case–control analyses involving 3,558 SA cases and 149,976 controls mirrored behaviour-related associations observed with SA-PRS. Moreover, Mendelian randomization analyses supported a potential causal effect of liability to 58 factors on SA, such as age at first intercourse, neuroticism, smoking, overall health rating and depression. Notably, machine-learning classification models based on behaviour-related factors exhibited high discriminative accuracy in distinguishing those with and without SA (area under the receiver operating characteristic curve 0.909 ± 0.006). This study provides comprehensive insights into diverse risk factors for SA, shedding light on potential avenues for targeted prevention and intervention strategies. This study reveals 246 behaviour-related and 200 physiological factors associated with genetic predisposition to suicide attempts. Mendelian randomization further indicates causal links for 58 factors.

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在英国生物库中识别自杀未遂的行为相关因素和生理风险因素
自杀是一项全球性的公共卫生挑战,但行为相关因素和生理因素与自杀未遂(SA)之间的关联仍存在很大的不确定性。在此,我们首先估算了 334 706 名英国生物库参与者的自杀未遂多基因风险评分(PRS),并对 2291 个因素进行了全表型关联分析。我们确定了 246 个(占 63.07%)行为相关因素和 200 个(占 10.41%,包括神经影像学、血液和代谢生物标志物以及蛋白质)生理因素与 SA-PRS 显著相关,并观察到生活方式因素和心理健康因素之间的密切关联。涉及 3,558 例 SA 病例和 149,976 例对照的进一步病例对照分析也反映了与 SA-PRS 有关的行为相关性。此外,孟德尔随机分析支持了 58 个因素对 SA 的潜在因果效应,如初次性交年龄、神经质、吸烟、总体健康评分和抑郁。值得注意的是,基于行为相关因素的机器学习分类模型在区分有SA和无SA的人群方面表现出很高的鉴别准确性(接收者操作特征曲线下面积为0.909 ± 0.006)。这项研究全面揭示了导致 SA 的各种风险因素,为制定有针对性的预防和干预策略提供了潜在途径。
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来源期刊
Nature Human Behaviour
Nature Human Behaviour Psychology-Social Psychology
CiteScore
36.80
自引率
1.00%
发文量
227
期刊介绍: Nature Human Behaviour is a journal that focuses on publishing research of outstanding significance into any aspect of human behavior.The research can cover various areas such as psychological, biological, and social bases of human behavior.It also includes the study of origins, development, and disorders related to human behavior.The primary aim of the journal is to increase the visibility of research in the field and enhance its societal reach and impact.
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